Suchergebnisse - "breast cancer"
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Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care: First Deep Breast Workshop, Deep-Breath 2024, Held in Conjunction with MICCAI 2024, Marr...
Inhaltsangabe: “… Evaluation of Bagging Ensembles on Multimodal Data for Breast Cancer Diagnosis.- HF-Fed: Hierarchical based customized Federated Learning Framework for X-Ray Imaging.- DuEU-Net: Dual Encoder UNet with Modality-Agnostic Training for PET-CT Multi-Modal Organ and Lesion Segmentation.- One for All: UNET Training on Single-Sequence Masks for Multi-Sequence Breast MRI Segmentation.- Multimodal Breast MRI Language-Image Pretraining (MLIP): An Exploration of a Breast MRI Foundation Model.- Enhancing the Utility of Privacy-Preserving Cancer Classification using Synthetic Data.- Efficient Generation of Synthetic Breast CT Slices By Combining Generative and Super-Resolution Models.- Exploring Patient Data Requirements in Training Effective AI Models for MRI-based Breast Cancer Classification.- Virtual dynamic contrast enhanced breast MRI using 2D U-Net.- Optimizing BI-RADS 4 Lesion Assessment using Lightweight Convolutional Neural Network with CBAM in Contrast Enhanced Mammography.- Mammographic Breast Positioning Assessment via Deep Learning.- Endpoint Detection in Breast Images for Automatic Classification of Breast Cancer Aesthetic Results.- Thick Slices for Optimal Digital Breast Tomosynthesis Classification with Deep-Learning.- Predicting Aesthetic Outcomes in Breast Cancer Surgery: a Multimodal Retrieval Approach.- Vision Mamba for Classification of Breast Ultrasound Images.- Breast Cancer Molecular Subtyping from H&E Whole Slide Images using Foundation Models and Transformers.- Graph Neural Networks for modelling breast biomechanical compression.- A generative adversarial approach to remove Moiré artifacts in Dark-field and Phase-contrast x-ray images.- MRI Breast tissue segmentation using nnUNet for Biomechanical modeling.- Fat-Suppressed Breast MRI Synthesis for Domain Adaptation in Tumour Segmentation.- Guiding Breast Conservative Surgery by Augmented Reality from Preoperative MRI: Initial System Design and Retrospective Trials.- ELK: Enhanced Learning through cross-modal Knowledge transfer for lesion detection in limited-sample contrast-enhanced mammography datasets.- Safe Breast Cancer Diagnosis Resilient to Mammographic Adversarial Samples. …”Springer International Publishing AG 2025
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The cardio-oncologic burden of breast cancer molecular mechanisms and importance of preclinical models
Schlagworte: “… Breast cancer …”
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Highlights from the San Antonio Breast Cancer Symposium 2024 expert discussion
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Ätiologische Faktoren und Präventionsmaßnahmen bei Brustkrebs: ein europäischer Vergleich zwischen den Mitgliedsstaaten der EU
“… Etiologic factors and preventive measures in breast cancer - a European comparison between EU member states …”31. März 2025
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- Langzeitarchivierung Nationalbibliothek, kostenfrei
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Circulating tumor cell plasticity determines breast cancer therapy resistance via neuregulin 1-HER3 signaling
Schlagworte: “… Breast cancer …”
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BRCA1/2 and other predisposition genes in high-risk hormone receptor+/human epidermal growth factor receptor 2- breast cancer treated with endocrine therapy with or without palbociclib a secondary PENELOPE-B study analysis : original reports : biomarkers
“… BRCA1/2 and other predisposition genes in high-risk hormone receptor plus/human epidermal growth factor receptor 2- breast cancer treated with endocrine therapy with or without palbociclib …”
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Correlation of HLA-A and HLA-B/C expression with PD-1 and PD-L1 expression in patients with metastatic breast cancer as a potential prognosticator of favorable survival
Schlagworte: “… Breast cancer …”
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Q-TWiST analysis of sacituzumab govitecan vs. chemotherapy in previously treated patients with HR+/HER2− metastatic breast cancer
Schlagworte: “… breast cancer …”
Article (Journal) Online Resource